Ismailov Rovshan M, Leatherdale Scott T
Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, ON, Canada.
Int J Pediatr Obes. 2010 Aug;5(4):351-60. doi: 10.3109/17477160903449994.
Increasing our understanding of the differences between obesity and overweight status across various geographical areas may have important public health implications. We aimed to explore prevalence and factors (i.e., demographic and lifestyle) associated with overweight and obesity among youth across urban, suburban and rural settings.
A cross-sectional study used self-reported data collected from students (grades 9-12) attending 76 high schools in Ontario, Canada, as part of the SHAPES-Ontario study (2005-2006). Of the 34 578 eligible students selected to complete the Physical Activity Module in the 76 participating schools, 73.5% (n=25 416; 50.8% males, 49.2% females) completed the survey. Univariate and multivariate analyses were conducted using body mass index for weight measurement and self-reported data on lifestyle factors, and self-perception of body weight.
The overall prevalence of overweight and obesity was 14.3% and 6.3%, respectively. The prevalence of overweight in urban, suburban and rural areas was 14.6%, 13.8% and 15.1%, respectively, while the prevalence of obesity was 6.3%, 6.0% and 6.7%, respectively, and the difference was significant (chi(2)= 16.53, p<0.05). In the multivariate logistic regression analysis, age, TV watching, level of urbanization and perception of body weight were important predictors of overweight and obesity.
Our understanding of how overweight and obesity rates vary depending on the level of urbanization may help health professionals to either tailor programs to the needs of the individuals living in these different areas or to target existing programs to the contexts where they are most likely to have an impact.
增进我们对不同地理区域肥胖与超重状况差异的理解，可能具有重要的公共卫生意义。我们旨在探讨城市、郊区和农村地区青少年中超重和肥胖的患病率及相关因素（即人口统计学和生活方式因素）。
一项横断面研究使用了从加拿大安大略省76所高中的9至12年级学生中收集的自我报告数据，作为安大略省SHAPES研究（2005 - 2006年）的一部分。在76所参与学校中，被选中完成身体活动模块的34578名符合条件的学生中，73.5%（n = 25416；男性占50.8%，女性占49.2%）完成了调查。使用体重指数进行体重测量，并结合生活方式因素的自我报告数据以及对体重的自我认知进行单因素和多因素分析。
超重和肥胖的总体患病率分别为14.3%和6.3%。城市、郊区和农村地区的超重患病率分别为14.6%、13.8%和15.1%，而肥胖患病率分别为6.3%、6.0%和6.7%，差异具有统计学意义（χ² = 16.53，p < 0.05）。在多因素逻辑回归分析中，年龄、看电视时间、城市化水平和对体重的认知是超重和肥胖的重要预测因素。
我们对超重和肥胖率如何因城市化水平而异的理解，可能有助于卫生专业人员根据生活在这些不同地区的个体需求调整项目，或将现有项目针对最有可能产生影响的环境。
